Results 11 to 20 of about 3,858,904 (290)
Likelihood Function through the Delta Approximation in Mixed SDE Models
Mathematics, 2022 Stochastic differential equations (SDE) appropriately describe a variety of phenomena occurring in random environments, such as the growth dynamics of individual animals.
Nelson T. Jamba +3 more
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Multiple testing correction in linear mixed models. [PDF]
, 2016 BackgroundMultiple hypothesis testing is a major issue in genome-wide association studies (GWAS), which often analyze millions of markers. The permutation test is considered to be the gold standard in multiple testing correction as it accurately takes ...
Eskin, Eleazar +3 more
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Proceedings of the National Academy of Sciences, 2003 Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
openaire +3 more sources
Stem Cell Reports, 2017 Both the promises and pitfalls of the cell reprogramming research platform rest on human genetic variation, making the measurement of its impact one of the most urgent issues in the field.
Pierre-Luc Germain, Giuseppe Testa
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Age and diet shape the genetic architecture of body weight in diversity outbred mice
eLife, 2022 Understanding how genetic variation shapes a complex trait relies on accurately quantifying both the additive genetic and genotype–environment interaction effects in an age-dependent manner. We used a linear mixed model to quantify diet-dependent genetic
Kevin M Wright +6 more
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The Parisi formula for mixed $p$-spin models [PDF]
, 2014 The Parisi formula for the free energy in the Sherrington-Kirkpatrick and mixed $p$-spin models for even $p\geq2$ was proved in the seminal work of Michel Talagrand [Ann. of Math. (2) 163 (2006) 221-263].
Panchenko, Dmitry
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Flexible semiparametric mixed models [PDF]
, 2005 In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors.
Reithinger, Florian, Tutz, Gerhard
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Stability and adaptability of curled green-leaf lettuce lines using the REML/Blup mixed model [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to estimate the stability and genotypic adaptability of advanced lines and cultivars of curled green-leaf lettuce (Lactuca sativa), in different growing environments and seasons, using the REML/Blup mixed model.
Willame dos Santos Candido +6 more
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R-environment package for regression analysis [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to develop a package in the R environment for automating and facilitating the regression analysis. Named easyreg, the package offers five functions.
Emmanuel Arnhold
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Generalized fiducial inference for normal linear mixed models [PDF]
, 2012 While linear mixed modeling methods are foundational concepts introduced in any statistical education, adequate general methods for interval estimation involving models with more than a few variance components are lacking, especially in the unbalanced ...
Cisewski, Jessi, Hannig, Jan
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